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Patents and Papers Trends of Solar-Photovoltaic(PV) Technology using LDA Algorithm

LDA알고리즘을 활용한 태양광 에너지 기술 특허 및 논문 동향 연구

  • Lee, Jong-Ho (New industry convergence technology R&D center, Ajou University) ;
  • Lee, In-Soo (New industry convergence technology R&D center, Ajou University) ;
  • Jung, Kyeong-Soo (New industry convergence technology R&D center, Ajou University) ;
  • Chae, Byeong-Hoon (New industry convergence technology R&D center, Ajou University) ;
  • Lee, Joo-Yeoun (New industry convergence technology R&D center, Ajou University)
  • 이종호 (아주대학교 신산업융합기술센터) ;
  • 이인수 (아주대학교 신산업융합기술센터) ;
  • 정경수 (아주대학교 신산업융합기술센터) ;
  • 채병훈 (아주대학교 신산업융합기술센터) ;
  • 이주연 (아주대학교 신산업융합기술센터)
  • Received : 2017.08.01
  • Accepted : 2017.09.20
  • Published : 2017.09.28

Abstract

Solar energy is attracting attention as an alternative to fossil fuels. However, there was a lack of discussion on the overall research direction and future direction of research in technology development. In order to develop more effective technology, we analyzed and discussed the technology trend of solar energy using patent data and thesis data. As an analysis method, topics were selected by using topic modeling and text mining, the increase of included keywords was analyzed, and the direction of development of solar technology was analyzed. Research on solar power generation technology is expected to proceed steadily, and it is analyzed that intensive research will be done especially on high efficiency and high performance technology. Future studies could be conducted by adding overseas patent data and various paper data.

산업의 급격한 발전은 화석에너지의 고갈을 야기하였고, 이러한 이유로 화석연료를 대체하기 위한 에너지로 태양광에너지가 각광받기 시작하였다. 하지만 기술발전에 있어 전체적인 연구방향 및 향후 연구 방향에 대한 논의가 부족하였다. 이에 보다 효과적인 기술개발을 위해 특허 데이터와 논문 데이터를 활용하여 태양광 에너지의 기술 동향을 파악하고 논의를 진행하였다. 분석방법으로는 토픽 모델링과 텍스트 마이닝을 활용하여 1997년도부터 2015년까지의 데이터를 토대로 기술 동향과 연구의 방향성에 대하여 분석한다. LDA알고리즘을 통하여 토픽을 선정하고, 선정된 기술 범주에 포함된 키워드의 증가량을 살펴보고, 태양광 기술의 발전방향에 대하여 분석하였다. 태양광 발전 기술에 대한 연구는 꾸준히 진행될 것으로 예상되며, 특히 고효율화 및 고성능화 기술에 대하여 집중적으로 연구가 이루어질 것으로 분석된다. 향후 연구로는 해외의 특허데이터와 다양한 논문데이터를 추가하여 연구를 진행할 수 있을 것이다.

Keywords

References

  1. Korea Energy Agency(Renewable Energy Center), "2014 Renewable energy Industrial statistics", Statistics report, pp.19-33, 2014.
  2. Korea Energy Agency, "2016 New Renewable Energy White Paper", Trend report, pp.103-110, 2016.
  3. Won-Suk Moon, Seok-soo Kim, "A Study on the Status Analysis and the Development plan of Beauty-IT Convergence Industry", Journal of Digital Convergence, Vol 13, No.8, pp. 235-243. 2015. https://doi.org/10.14400/JDC.2015.13.8.235
  4. Rho, S,M, "Big Data Analysis Platform Technology R&D Trend through Patent Analysis", Journal of Digital Convergence, Vol 12, No. 9, pp. 169-175, 2014. https://doi.org/10.14400/JDC.2014.12.9.169
  5. Kim, J.C., Lee, J.H., Park, S.S., Jang, D.S., "Technology Strategy based on Patent analysis", Journal of Korean Institute of Intelligent Systems, Vol 26, No.2, pp. 141-146, 2016. https://doi.org/10.5391/JKIIS.2016.26.2.141
  6. Gu, J, U, Lee, J, H, Chung. M, S, Lee, J, Y, "Electric Vehicle Technology Trends Forecast Research Using the Paper and Patent Data", Journal of Digital Convergence, Vol 15, No. 2, pp. 165-172, 2017. https://doi.org/10.14400/JDC.2017.15.2.165
  7. Shin, S.S., Choi, H.R., Lee, H.C., "Topic Model Analysis of Research Trend on Renewable Energy", Journal of the Korea Academia-Industrial cooperation Society, Vol 16, No.9, pp.6411-6418, 2015. https://doi.org/10.5762/KAIS.2015.16.9.6411
  8. Kim, M, J, Kim, C, J, "Analyzing Architectural History Terminologies by Text Mining and Association Analysis", Journal of Digital Convergence, Vol. 15, No. 1, pp. 443-452, 2017. https://doi.org/10.14400/JDC.2017.15.1.443
  9. Blei D.M., Lafferty J.D., "Dynamic topic models", International Conference on Machine Learning, pp.113-120, 2006.
  10. Mi-ok Kim, Jin-soo Ko, Seung-Chul Noh, Jae-Hoon Chung, "A study of the vitalization strategy for public sports facility through big-data", Journal of Digital Convergence, Vol. 15 No. 2, pp.527-535, 2017. https://doi.org/10.14400/JDC.2017.15.2.527
  11. Jang, N, K, Kim, M,J, "Research Trend Analysis in Fashion Design Studies on Korea using Topic Modeling", Journal of Digital Convergence, Vol. 15, No. 6, pp. 415-423, 2017. https://doi.org/10.14400/JDC.2017.15.6.415
  12. Blei D.M., Ng A.Y., Jordan M.I., "Latent Dirichlet Allocation", Journal, 2003.
  13. Tang, J., Wang B., Yang Y., Hu P., Zhao Y., Yan X., Gao B., Huang M., Xu P., Li W., Usadi A.K., "PatentMiner Topic-driven Patant Analysis and Mining", ACM SIGKDD international conference on Knowledge discovery and data mining, pp.1366-1374, 2012.
  14. Seo, H.W. "Recent Progress in Research and Development of Smart Grid Industry by Using Patent Analysis", Master's Thesis, Sungkyunkwan University, 2016.
  15. Lee, J.P. "High oil prices may go on for 10 years", LG Economic Research Institute, pp.34-38, 2006.
  16. IHS Technology, "Top solar power industry trends for 2015", Report, 2015.